Article Per Year (5 Year)
p-Index From 2019 - 2024
0.61
P-Index
This Author published in this journals
All Journal Dentika Dental Journal Journal of Dentomaxillofacial Science Journal of Computer and Information System (J-CIS) Jurnal Riset Pendidikan Matematika Jakarta
Asmawati
Unknown Affiliation
Computer Science & IT Dentistry Education Mathematics

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
RISK FACTORS OF MUTATION NUCLEOTIDE OLIGOMERAZATION DOMAIN 2 GENE TO CHRONIC PERIODONTITIS: MUTASI GEN NUCLEOTIDE OLIGOMERAZATION DOMAIN 2 (NOD2) SEBAGAI FAKTOR RISIKO TERHADAP TERJADINYA PERIODONTITIS KRONIS Asmawati
Dentika: Dental Journal Vol. 16 No. 1 (2011): Dentika Dental Journal
Publisher : TALENTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (223.34 KB) | DOI: 10.32734/dentika.v16i1.1894

Abstract

Chronic periodontitis is a chronic inflammatory disease that causes a damage of tooth supporting tissues. The incidence of chronic periodontitis disease is highly reported in Indonesia .S urvey in Java, Bali and Sulawesi reported the incidence of chronic periodontitis for 35-44 years age group was 88.67%. This disease is a major cause of tooth loss for 35 years or more age group. The results of various studies was found many chronic periodontitis diseases are common in young age, therefore the genetic role in diseases is susceptible for chronic periodontitis. The aim study was to know if the mutation of the gene Nucleotide-Binding Oligomerization Domain 2 (NOD2) is a risk factors for chronic periodontitis. Total sample was 162 subject, 81 samples with chronic periodontitis and 81 without periodontal disease as control group. The results showed that there was 12,3 % of samples that had been mutation of NOD2 gene, and in the control group only 1,2 %, and statistical l y there was a significant difference ( p=0,005). In conclusion, mutation NOD2 gen is a risk factor to chronic periodontitis.
Perbandingan Metode k-NN dan Naïve Bayes dalam Klasifikasi Penentuan Calon Pendonor Darah Nahya Nur; Asmawati; Nur Syahra
Journal of Computer and Information System ( J-CIS ) Vol 4 No 1 (2021): J-CIS Volume 4 Issue 1 2021
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.502 KB) | DOI: 10.31605/jcis.v4i1.875

Abstract

Donor darah adalah proses pengambilan darah dari seorang yang sehat dengan dinyatakan memenuhi syarat dengan meninjau beberapa faktor seperti seperti pengukuran tekanan darah, golongan darah, kadar hemoglobin (Hb), status pendonor, konsultasi medis dan sebagainya. Klasifikasi adalah proses menemukan fungsi atau model yang dapat membedakan suatu konsep atau kelas data untuk memprediksi kelas suatu objek yang tidak diketahui. Penelitian ini dilakukan untuk mencari metode terbaik berdasarkan perbandingan nilai akurasi menggunakan 100 data latih donor darah dari RSUD Majene yang diproses dengan mengimplementasikan metode K-Nearest Neighbor dan Naive Bayes. Hasil analisis menunjukkan bahwa algoritma K-Nearest Neighbor menunjukkan performa yang lebih baik dengan tingkat akurasi sebesar 86% sedangkan algoritma Naïve Bayes memperoleh nilai akurasi sebesar 76%.
PENINGKATAN KETUNTASAN BELAJAR SISWA DENGAN PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE STAD PADA MATA PELAJARAN PRAKTIKUM AKUNTANSI PERUSAHAAN JASA, DAGANG, DAN MANUFAKTUR DENGAN MATERI PENERIMAAN KAS PADA TINGKAT XII AKL I PROGRAM KEAHLIAN KEUANGAN P asmawati
Jurnal Riset Pendidikan Matematika Jakarta Vol 4 No 2 (2022): Jurnal Riset Pendidikan Matematika Jakarta Volume 4, Nomor 2, Tahun 2022
Publisher : Program Studi Pendidikan Matematika jenjang Magister, FMIPA, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (217.736 KB) | DOI: 10.21009/jrpmj.v4i2.25083

Abstract

Penelitian ini bertujuan untuk mengetahui hasil belajar akuntansi terhadap pelaksanaan model pembelajaran kooperatif tipe Student Teams Achievement Divisions (STAD) di SMK Negeri 1 Sumenep. Adapun yang menjadi subjek penelitian adalah siswa kelas XII Akuntansi 2 SMK Negeri 1 Sumenep yang berjumlah 35 siswa. Hasil penelitian menunjukkan bahwa model pembelajaran Student Teams Achievement Divisions (STAD) dapat meningkatkan hasil belajar siswa, pada siklus I terdapat 12 siswa (34,3%) dari 35 siswa masih belum mampu mencapai KKM, dan sebanyak 23 (65,7%) siswa kelas XII Akuntansi 2 telah mencapai KKM. Pada siklus II, hasil tes formatif siswa yang kompeten sejumlah 33 (94,3%) dan 2 siswa (5,7%) belum kompeten. Apabila dibandingkan, minat dan perhatian pada pelaksanaan pembelajaran dengan model pembelajaran STAD dari siklus I ke siklus II mengalami kenaikan sebesar 60%. Siswa memberikan respon positif terhadap pelaksanaan pembelajaran kooperatif tipe Student Teams Achievement Divisions (STAD).
The use of teledentistry and Artificial Intelligence (AI) in dental and oral health services for the elderly in the era of the covid-19 pandemic: A systematic review Bahruddin Thalib; Rifaat Nurrahma; Asmawati; Alqarama M. Thalib; Mohammad NF. Taufik
Journal of Dentomaxillofacial Science Vol. 7 No. 3 (2022): (Available online: 1 December 2022)
Publisher : DiscoverSys Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15562/jdmfs.v7i3.1406

Abstract

Objective: This paper aims to determine the use of teledentistry and AI in the elderly to maintain the health of their oral cavity and teeth during the COVID-19 pandemic. Methods: Technology in dentistry today is developing very rapidly, improving the quality of dental and oral health services. During the pandemic, the elderly has concerns about Covid-19 contamination when they have to see a dentist. Their situation has led to discussions and efforts to use teledentistry and Artificial intelligence to facilitate services and care for the elderly during the pandemic. Results: Teledentistry is used as a medium for consultation, diagnosis, referral system, treatment, and follow-up. While Artificial Intelligence (AI) has been used in diagnostic, patient data management, restoration, and CAD/CAM-based denture manufacture, detecting periodontal disease, and dental radiology. Conclusion: Teledentistry and AI can be a promising alternative in dental and oral health services to reduce anxiety and fear of contamination with Covid-19. The technologies make it easier for health workers, especially dentists, to maintain and improve the quality of life of the elderly during the pandemic.
Co-Authors Alqarama M. Thalib Bahruddin Thalib Mohammad NF. Taufik Nur Syahra Nur, Nahya Rifaat Nurrahma